Sentence examples for variation data to from inspiring English sources

In this work, we use gene expression and copy-number variation data to assess the relationship between protein complexes from CORUM, dosage sensitivity and recent gene evolution in the human population.

Despite these rapid advances, challenges remain in interpreting the massive amount of genomic variation data to 1) identify susceptibility genes associated with particular complex diseases and 2) understand the underlying etiology of the complex diseases.

Thus, we thought it was important to integrate predictive bioinformatics tools, such as the one described above, with a comprehensive set of known genetic variation data, to create a 'one-stop' mutation analysis platform.

These novel approaches take a more holistic view of biological systems and leverage the vast network of gene gene interactions, in combination with DNA variation data, to establish causal relationships among molecular profiling traits and Fbetween molecular profiling and disease (or other classic phenotypes).

In their seminal work, Christley et al.[ 48] compressed a single human (James Watson's) genome, but with the variation data relative to a reference genome being provided.

However, the drop in divergence estimates after incorporating the intraspecies variation data promotes to reanalyze previously studied loci, where the human-chimpanzee divergence may be substantially lower than initially calculated.

To transform raw sequencing data into variation data, we need to undertake the following steps: (1) sequence alignment, (2) variant calling, (3) variant annotation, and (4) variant interpretation [ 11, 12].

Our copy number variation data were compared to the Database of Genomic Variants [ 19] to exclude genomic variants.

The use of variation data, in addition to sequence divergence information, uncovered previously undetected positive selection signatures in neural genes.

However, when investigating seasonal variation, data are expected to be internally dependent; hence, applying a Poisson regression model may not be appropriate.

Therefore, it is hoped that these biological variation data may serve to apply this approach in the analysis of urinary oxidative stress biomarkers.